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Series GSE202220 Query DataSets for GSE202220
Status Public on Dec 01, 2023
Title Shear stress promotes metabolic changes in endothelial cells
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Here we investigated how shear stress influences the metabolic behavior of endothelial cells (ECs) using a combination of transcriptomics, tracer metabolomics. Transcriptomics analysis of ECs under wall shear stress (WSS) showed an increase in the glutamine, asparagine, alanine, aspartate, and glutamate biochemical activity while the downregulated gene signature suggested a reduction of the glycolysis activity. Metabolomics analysis of the medium from static and WSS cultured ECs revealed that -upon WSS- changes in the nutritional preferences of ECs occurred. Using tracer metabolomics, we further evidenced that WSS promotes glutamine anaplerosis into the Krebs cycle and a decrease in the glycolytic metabolism of ECs in vitro. In conclusion, our findings elucidate the nutritional preferences of ECs and reveal the importance of a physical stimulus (WSS) in the regulation of EC metabolism in vitro.
 
Overall design 4x4 design - 4 samples of HUVECs cultured under wall shear stress vs 4 samples of HUVECs cultured under static conditions
 
Contributor(s) Mazzone M
Citation(s) 32527198
Submission date May 04, 2022
Last update date Mar 01, 2024
Contact name Sandrine Da Cruz
E-mail(s) sandrine.dacruz@kuleuven.be
Phone +3216320033
Organization name VIB-KU Leuven Center for Brain and Disease Research
Department KU Leuven Department of Neurosciences
Lab Neurophysiology in Neurodegenerative Disorders
Street address ON 5 Herestraat 49
City Leuven
State/province Flemish Brabant
ZIP/Postal code 3000
Country Belgium
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (8)
GSM6106601 RFS1
GSM6106602 RFL1
GSM6106603 RFS2
Relations
BioProject PRJNA835080

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE202220_countmatrix_RNAseq.csv.gz 436.1 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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